A simplified method for levoglucosan quantification in wintertime atmospheric particulate matter by high performance anion-exchange chromatography coupled with pulsed amperometric detection

Piazzalunga, A.; Fermo, P.; Bernardoni, V.; Vecchi, R.; Valli, G.; Gregorio, Maria Antonietta De

doi:10.1080/03067310903023619

Cited by 67 publications

(39 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Levoglucosan measurements were performed with a high-performance anion exchange chromatographer (HPAEC) with pulsed amperometric detection (PAD) using an ion chromatograph (Dionex ICS-1000) following Piazzalunga et al (2010 and. Free cellulose was determined using an enzymatic conversion to D-glucose (Kunit and Puxbaum, 1996) and subsequent determination of glucose with an HPAEC (Iinuma et al, 2009).…”

Section: Other Chemical Analysismentioning

confidence: 99%

Long-term chemical analysis and organic aerosol source apportionment at nine sites in central Europe: source identification and uncertainty assessment

et al. 2017

Self Cite

View full text Add to dashboard Cite

Abstract. Long-term monitoring of organic aerosol is important for epidemiological studies, validation of atmospheric models, and air quality management. In this study, we apply a recently developed filter-based offline methodology using an aerosol mass spectrometer (AMS) to investigate the regional and seasonal differences of contributing organic aerosol sources. We present offline AMS measurements for particulate matter smaller than 10 µm at nine stations in central Europe with different exposure characteristics for the entire year of 2013 (819 samples). The focus of this study is a detailed source apportionment analysis (using positive matrix factorization, PMF) including in-depth assessment of the related uncertainties. Primary organic aerosol (POA) is separated in three components: hydrocarbon-like OA related to traffic emissions (HOA), cooking OA (COA), and biomass burning OA (BBOA). We observe enhanced production of secondary organic aerosol (SOA) in summer, following the increase in biogenic emissions with temperature (summer oxygenated OA, SOOA). In addition, a SOA component was extracted that correlated with an anthropogenic secondary inorganic species that is dominant in winter (winter oxygenated OA, WOOA). A factor (sulfur-containing organic, SC-OA) explaining sulfur-containing fragments (CH 3 SO + 2 ), which has an event-driven temporal behaviour, was also identified. The relative yearly average factor contributions range from 4 to 14 % for HOA, from 3 to 11 % for COA, from 11 to 59 % for BBOA, from 5 to 23 % for SC-OA, from 14 to 27 % for WOOA, and from 15 to 38 % for SOOA. The uncertainty of the relative average factor contribution lies between 2 and 12 % of OA. At the sites north of the alpine crest, the sum of HOA, COA, and BBOA (POA) contributes less to OA (POA / OA = 0.3) than at the southern alpine valley sites (0.6). BBOA is the main contributor to POA with 87 % in alpine valleys and 42 % north of the alpine crest. Furthermore, the influence of primary biological particles (PBOAs), not resolved by PMF, is estimated and could contribute significantly to OA in PM 10 .

show abstract

Section: Other Chemical Analysismentioning

confidence: 99%

Long-term chemical analysis and organic aerosol source apportionment at nine sites in central Europe: source identification and uncertainty assessment

et al. 2017

Self Cite

View full text Add to dashboard Cite

show abstract

“…In the same samples analysed by the three protocols also levoglucosan -a marker for biomass burning (Simoneit and Elias, 2001) -was measured using the methodology reported in detail in Piazzalunga et al (2010b). The presence of levoglucosan (concentration range: 0.6-4.0 µg cm −2 and levoglucosan carbon/TC = 3 % on average) in our samples indicated a not negligible contribution due to wood burning during the investigated period, which can explain the presence of an important refractory, not strongly light-absorbing fraction.…”

Section: Wsoc Analysismentioning

confidence: 99%

Technical Note: On the effect of water-soluble compounds removal on EC quantification by TOT analysis in urban aerosol samples

et al. 2011

View full text Add to dashboard Cite

Abstract. In this work, three different thermal protocols were tested on untreated and water-washed aerosol samples to study the influence of soluble organic and inorganic compounds on EC measurements. Moreover, analyses on the water soluble extracts were carried out. The aim was to find out the most suitable protocol to analyse samples collected in a heavily polluted area. Indeed, the tests were performed on real samples collected at an urban background station in the Po Valley, which is one of the main pollution hot-spots in Europe.The main differences among the tested protocols were the maximum temperature of the He step (i.e. 870 • C, 650 • C, and 580 • C) and the duration of the plateaus during the heating procedure. Our measurements evidenced the presence of a significant amount of weakly light-absorbing carbonaceous aerosol evolving during the highest temperature step in He (i.e. 870 • C), which makes lower temperature protocols not suitable for EC determination in samples collected in heavily polluted areas like Milan.

show abstract

“…The extract was analyzed to determine levoglucosan concentration by High-Performance Anion Liquid Chromatography coupled with Pulsed Amperometric Detection (HPAEC-PAD) following the procedure described in [48]. Minimum detection limit is about 2 ng/mL (i.e., 0.7 ng/m 3 in Propata and 6.6 ng/m 3 in Milan, due to different sampling conditions) and uncertainties are about 11%.…”

Section: Chemical Characterizationmentioning

confidence: 99%

The Multi-Wavelength Absorption Analyzer (MWAA) Model as a Tool for Source and Component Apportionment Based on Aerosol Absorption Properties: Application to Samples Collected in Different Environments

Bernardoni

Pileci

Caponi³

et al. 2017

Atmosphere

Self Cite

View full text Add to dashboard Cite

Abstract:The multi-wavelength absorption analyzer model (MWAA model) was recently proposed to provide a source (fossil fuel combustion vs. wood burning) and a component (black carbon BC vs. brown carbon BrC) apportionment of b abs measured at different wavelengths, and to provide the BrC Ångström Absorption exponent (α BrC ). This paper shows MWAA model performances and issues when applied to samples impacted by different sources. To this aim, the MWAA model was run on samples collected at a rural (Propata) and an urban (Milan) site in Italy during the winter period. Lower uncertainties on α BrC and a better correlation of the BrC absorption coefficient (b abs BrC ) with levoglucosan (tracer for wood burning) were obtained in Propata (compared to Milan).Nevertheless, the correlation previously mentioned improved, especially in Milan, when providing a priori information on α BrC to MWAA. Possible reasons for this improvement could be the more complex mixture of sources present in Milan and the aging processes, which can affect aerosol composition, particle mixing, and size distribution. OC and EC source apportionment showed that wood burning was the dominating contributor to the carbonaceous fractions in Propata, whereas a more complex situation was detected in Milan. Simultaneous b abs (BC) apportionment and EC measurements allowed MAC determination, which gave analogous results at the two sites.

show abstract

A simplified method for levoglucosan quantification in wintertime atmospheric particulate matter by high performance anion-exchange chromatography coupled with pulsed amperometric detection

Cited by 67 publications

References 34 publications

Long-term chemical analysis and organic aerosol source apportionment at nine sites in central Europe: source identification and uncertainty assessment

Long-term chemical analysis and organic aerosol source apportionment at nine sites in central Europe: source identification and uncertainty assessment

Technical Note: On the effect of water-soluble compounds removal on EC quantification by TOT analysis in urban aerosol samples

The Multi-Wavelength Absorption Analyzer (MWAA) Model as a Tool for Source and Component Apportionment Based on Aerosol Absorption Properties: Application to Samples Collected in Different Environments

Contact Info

Product

Resources

About